Role- LLM Training - Mobile Engineer (Kotlin )

Geo - India

YoE- 3+ years

Engagement Type - Full Time Contract - 4 Weeks

Special reqs - Kotlin and Android

Skill - Kotlin and Android

Availability - Full Time Availability(8 Hrs) and 4 hours overlap with PST time zone

What does day-to-day look like:

• Design, develop, and maintain efficient, high-quality code to train and optimize AI models.
• Conduct evaluations (Evals) to benchmark model performance and analyze results for continuous improvement.
• Evaluate and rank AI model responses to user queries across diverse domains, ensuring alignment with predefined criteria.
• Develop comprehensive explanations and rationales for evaluations, showcasing excellent reasoning and technical expertise.
• Lead efforts in Supervised Fine-Tuning (SFT), including creating and maintaining high-quality, task-specific datasets.
• Collaborate with researchers and annotators to execute Reinforcement Learning with Human Feedback (RLHF) and refine reward models.
• Design innovative evaluation strategies and processes to improve the model's alignment with user needs and ethical guidelines.
• Create and refine optimal responses to improve AI performance, emphasizing clarity, relevance, and technical accuracy.
• Conduct thorough peer reviews of code and documentation, providing constructive feedback and identifying areas for improvement.
• Collaborate with cross-functional teams to improve model performance and contribute to product enhancements.
• Continuously explore and integrate new tools, techniques, and methodologies to enhance AI training processes.

Required Skills:

• 3+ years of experience with Kotlin and Android
• Hands-on experience with employing modular development and scalable architectures as well as a strong focus on code readability and security/stability (i.e. testing)
• Clearly express the reasoning and logic when writing code in https://colab.google/ or other suitable mediums
• Proficiency with the language's syntax and conventions
• Familiarity working with QA technologies is desirable
• Excellent spoken and written English communication skills